Volume 8 Number 2 (Feb. 2013)
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JCP 2013 Vol.8(2): 313-318 ISSN: 1796-203X
doi: 10.4304/jcp.8.2.313-318

The Effect of the Number of Features to Supervised Chinese Word Sense Disambiguation

Pengyuan Liu
Applied Linguistics Research Institute, Beijing Language and Culture University, Beijing, China

Abstract—Although feature selection is very important during either supervised or unsupervised word sense disambiguation processing, there is no systematic study on investigating the relationship between the number of features and the performance as we know yet. This paper investigates the effect of the number of features to supervised Chinese word sense disambiguation through thousands of experiments on Semeval 2007 Multilingual Chinese-English Lexical Sample task dataset. It shows that local basic feature provides adequate information to do disambiguation and the influence of data sparseness is not as important on the performance as we think before from the number of features point of view.

Index Terms—Chinese word sense disambiguation, number of features, window size, Local feature, Data sparseness

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Cite: Pengyuan Liu," The Effect of the Number of Features to Supervised Chinese Word Sense Disambiguation," Journal of Computers vol. 8, no. 2, pp. 313-318, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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